abebe9849

Masatoshi Abe's starred repositories

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Language:PythonMIT19148 148 261

pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

Language:PythonMIT1505 26 33

cellpose

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Language:Jupyter NotebookBSD-3-Clause1286 29 853

awesome-detection-transformer

Collect some papers about transformer for detection and segmentation. Awesome Detection Transformer for Computer Vision (CV)

1232 57 10

spec_augment

🔦 A Pytorch implementation of GoogleBrain's SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Language:Jupyter NotebookMIT488 15 15

gradient-descent-the-ultimate-optimizer

Code for our NeurIPS 2022 paper

Language:PythonMIT362 50

dino-vit-features

Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

Language:PythonMIT361 4 21

RMT

(CVPR2024)RMT: Retentive Networks Meet Vision Transformer

Language:Python261 14 27

superintendent

Practical active learning in python

Language:Python188 12 30

CT-CLIP

A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities

Language:Python136 2 14

quilt1m

[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.

Language:PythonMIT125 5 27

CVPR-MIA

Papers of Medical Image Analysis on CVPR

111 20

shiba

Pytorch implementation and pre-trained Japanese model for CANINE, the efficient character-level transformer.

Language:PythonNOASSERTION89 4 8

TeachAugment

Official Implementation of TeachAugment: Data Augmentation Optimization Using Teacher Knowledge (CVPR2022, Oral)

Language:PythonNOASSERTION66 5 3

Large Scale Non maximum Suppression. This project implements a O(nlog(n)) approach for non max suppression, useful for object detection ran on very large images such as satellite or histology, when the number of instances to prune becomes very large.

Language:Python62 2 14

sleep-stage-classification-papers

This repo contains a list of papers for sleep stage classification using deep learning based techniques starting from 2017-afterwards. I classified them generally according to the proposed technique.

MIT55 30

A4SM

Archive for Self-supervised learning in Medical images (A4SM).

55 5 1

BLEEP

Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning

Language:PythonApache-2.054 5 9

HubMap

Kaggle HubMap

Language:Python36 2 2

MIM-Refiner

A Contrastive Learning Boost from Intermediate Pre-Trained Representations

Language:PythonMIT33 8 4

segmentation_models_pytorch_3d

Segmentation models for 3D data with different backbones. PyTorch.

Language:PythonMIT24 4 6

timm_3d

PyTorch Volume Models for 3D data

Language:Python16 3 1

1d-swin

The implementation of 1d-swin, an efficient transformer for capturing hierarchical 1-dimentional long range sequence

Language:PythonMIT15 4 3

kaggle-identify-contrails-4th

Language:PythonApache-2.012 20

glomeruli_segmentation

Pathohistlogical glomerular segementation on whole slide images using Faster R-CNN and ESPNet.

Language:PythonNOASSERTION8 1 4

IIIC-IRR

Code to reproduce figures in "Interrater Reliability of Expert Electroencephalographers Identifying Seizures and Rhythmic and Periodic Patterns in EEGs"

Language:MATLABNOASSERTION400

MSFN

Language:Python4 1 1

Glo-In-One

Language:PythonApache-2.03 1 1

MedAI6

4th Place Solution for Medical AI Contest 2024 (https://www.kaggle.com/competitions/medical-ai-contest2024/submissions)

Language:Jupyter Notebook300